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2020 – today
- 2025
[j22]Fanghua Chen
, Deguang Shang, Gang Zhou, Muhao Xu, Ke Ye, Fujie Ren, Guofang Wu:
Cooperative Static and Dynamic Correlation-Aware Learning for Vehicle Maintenance Demand Prediction. IEEE Access 13: 2970-2981 (2025)- [j21]Shuzong Chen, Shengquan Jiang, Xiaoyu Wang, Ke Ye, Jie Sun, Changchun Hua:
A high-precision and real-time lightweight detection model for small defects in cold-rolled steel. J. Real Time Image Process. 22(1): 30 (2025) - 2024
- [j20]Hao Zhang, Qing Xu, Ke Ye:
Formal Verification Method of CTCS-2 Level Train Control Engineering Data Based on the Reduced Ordered Binary Decision Diagram. IEEE Access 12: 106793-106807 (2024) - [j19]Qiao-Long Huang, Ke Ye, Xiao-Shan Gao:
Skew-polynomial-sparse matrix multiplication. J. Symb. Comput. 121: 102240 (2024) - [j18]Qiyuan Chen, Jeffrey Uhlmann, Ke Ye:
Generalizing Frobenius inversion to quaternion matrices. Numer. Algorithms 97(1): 101-116 (2024) - [j17]Qiyuan Chen, Jeffrey Uhlmann, Ke Ye:
Correction to: Generalizing Frobenius inversion to quaternion matrices. Numer. Algorithms 97(1): 117 (2024) - [j16]Zhen Dai, Lek-Heng Lim, Ke Ye:
Complex matrix inversion via real matrix inversions. Numerische Mathematik 156(6): 2179-2219 (2024) - [j15]Xuanyu Wang, Zijun Xi, Ke Ye, Zheng Gong, Yifan Chen, Xiong Wang:
Improvement of Phased Antenna Array Applied in Focused Microwave Breast Hyperthermia. Sensors 24(9): 2682 (2024) - [j14]Miao Kang, Shengqi Wang, Sanping Zhou, Ke Ye, Jingjing Jiang, Nanning Zheng:
FFINet: Future Feedback Interaction Network for Motion Forecasting. IEEE Trans. Intell. Transp. Syst. 25(9): 12285-12296 (2024) - [c13]Lesong Tao, Miao Kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng:
POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning. ICRA 2024: 15076-15082 - [c12]Ke Ye, Sanping Zhou, Miao Kang, Jingwen Fu, Nanning Zheng:
Vehicle Trajectory Prediction with Soft Behavior Constraints. IROS 2024: 9404-9410 - [c11]Qiyuan Chen, Ke Ye:
A quasi-optimal lower bound for skew polynomial multiplication. ISSAC 2024: 74-81 - [c10]Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji:
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing. NeurIPS 2024 - [i19]Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar:
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection. CoRR abs/2401.13160 (2024) - [i18]Qiyuan Chen, Ke Ye:
A quasi-optimal lower bound for skew polynomial multiplication. CoRR abs/2402.04134 (2024) - [i17]Zehua Lai, Lek-Heng Lim, Ke Ye:
Simple matrix expressions for the curvatures of Grassmannian. CoRR abs/2406.11821 (2024) - [i16]Zehua Lai, Lek-Heng Lim, Ke Ye:
Grassmannian optimization is NP-hard. CoRR abs/2406.19377 (2024) - [i15]Lek-Heng Lim, Ke Ye:
Simple matrix models for the flag, Grassmann, and Stiefel manifolds. CoRR abs/2407.13482 (2024) - [i14]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - [i13]Zijia Li, Ke Ye:
Rational Curves on Real Classical Groups. CoRR abs/2408.04453 (2024) - [i12]Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji:
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing. CoRR abs/2408.14180 (2024) - [i11]Zheng Fang, Ke Ye, Yaofang Liu, Gongzhe Li, Xianhong Zhao, Jialong Li, Ruxin Wang, Yuchen Zhang, Xiangyang Ji, Qilin Sun:
EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera. CoRR abs/2412.11680 (2024) - 2023
- [j13]Meng Shen, Ke Ye, Xingtong Liu, Liehuang Zhu, Jiawen Kang, Shui Yu, Qi Li, Ke Xu:
Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 25(1): 791-824 (2023) - [j12]Shenglong Hu, Ke Ye:
Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations. Math. Program. 199(1): 1305-1364 (2023) - [c9]Jianting Yang, Ke Ye, Lihong Zhi:
Lower Bounds of Functions on Finite Abelian Groups. COCOON (2) 2023: 157-170 - [c8]Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar:
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. ICLR 2023 - [i10]Qiyuan Chen, Jeffrey Uhlmann, Ke Ye:
Generalizing Frobenius Inversion to Quaternion Matrices. CoRR abs/2305.02477 (2023) - [i9]Miao Kang, Shengqi Wang, Sanping Zhou, Ke Ye, Jingjing Jiang, Nanning Zheng:
FFINet: Future Feedback Interaction Network for Motion Forecasting. CoRR abs/2311.04512 (2023) - [i8]Peng Liu, Ke Ye:
Bundle-based similarity measurement for positive semidefinite matrices. CoRR abs/2312.13721 (2023) - 2022
- [j11]Ke Ye, Ken Sze-Wai Wong, Lek-Heng Lim:
Optimization on flag manifolds. Math. Program. 194(1): 621-660 (2022) - [c7]Ke Ye, Meng Shen, Zhenbo Gao, Liehuang Zhu:
Real-Time Detection of Cryptocurrency Mining Behavior. BlockSys 2022: 278-291 - [c6]Zhongyuan Hua, Ke Ye:
Colonization Strategy Algorithm: A Deviation Algorithm Optimization based on Spatial Autocorrelation Theory. QRS Companion 2022: 626-633 - [c5]Xingtong Liu, Meng Shen, Laizhong Cui, Ke Ye, Jizhe Jia, Guangchun Yue:
FewFine: Few-shot Malware Traffic Classification Via Transfer Learning based on Fine-tuning Strategy. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 425-432 - [i7]Ke Ye, Shenglong Hu:
When geometry meets optimization theory: partially orthogonal tensors. CoRR abs/2201.04824 (2022) - [i6]Qiao-Long Huang, Ke Ye, Xiao-Shan Gao:
Skew-sparse matrix multiplication. CoRR abs/2205.06429 (2022) - [i5]Zhen Dai, Lek-Heng Lim, Ke Ye:
Inverting a complex matrix. CoRR abs/2208.01239 (2022) - [i4]Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar:
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers. CoRR abs/2210.06313 (2022) - 2021
- [j10]Lek-Heng Lim, Ken Sze-Wai Wong, Ke Ye:
The Grassmannian of affine subspaces. Found. Comput. Math. 21(2): 537-574 (2021) - [c4]Hui Zhang, Gaopeng Gou, Gang Xiong, Chang Liu, Yuewen Tan, Ke Ye:
Multi-granularity Mobile Encrypted Traffic Classification Based on Fusion Features. SciSec 2021: 154-170 - 2020
- [c3]Lek-Heng Lim, Ke Ye:
Ubiquity of the exponent of matrix multiplication. ISSAC 2020: 8-11 - [i3]Jiawang Nie, Ke Ye, Lihong Zhi:
Symmetric Tensor Decompositions On Varieties. CoRR abs/2003.09822 (2020)
2010 – 2019
- 2019
- [j9]Lek-Heng Lim, Ken Sze-Wai Wong, Ke Ye:
Numerical Algorithms on the Affine Grassmannian. SIAM J. Matrix Anal. Appl. 40(2): 371-393 (2019) - [j8]Jiawang Nie, Ke Ye:
Hankel Tensor Decompositions and Ranks. SIAM J. Matrix Anal. Appl. 40(2): 486-516 (2019) - [j7]Lek-Heng Lim, Rodolphe Sepulchre, Ke Ye:
Geometric Distance Between Positive Definite Matrices of Different Dimensions. IEEE Trans. Inf. Theory 65(9): 5401-5405 (2019) - [c2]Yang Qi, Pierre Comon, Lek-Heng Lim, Ke Ye:
Path-connectedness of tensor ranks. EUSIPCO 2019: 1-5 - 2018
- [j6]Ke Ye, Lek-Heng Lim:
Fast Structured Matrix Computations: Tensor Rank and Cohn-Umans Method. Found. Comput. Math. 18(1): 45-95 (2018) - [i2]Tingran Gao, Lek-Heng Lim, Ke Ye:
Semi-Riemannian Manifold Optimization. CoRR abs/1812.07643 (2018) - 2017
- [j5]Ke Ye, Changsheng Zhang, Jiaxu Ning, Xiaojie Liu:
Ant-colony algorithm with a strengthened negative-feedback mechanism for constraint-satisfaction problems. Inf. Sci. 406: 29-41 (2017) - [j4]Ke Ye, Lek-Heng Lim:
Cohomology of Cryo-Electron Microscopy. SIAM J. Appl. Algebra Geom. 1(1): 507-535 (2017) - 2016
- [j3]Ke Ye, Lek-Heng Lim:
Every Matrix is a Product of Toeplitz Matrices. Found. Comput. Math. 16(3): 577-598 (2016) - [j2]Ke Ye, Lek-Heng Lim:
Schubert Varieties and Distances between Subspaces of Different Dimensions. SIAM J. Matrix Anal. Appl. 37(3): 1176-1197 (2016) - [c1]Ke Ye, Lek-Heng Lim:
Algorithms for structured matrix-vector product of optimal bilinear complexity. ITW 2016: 310-314 - [i1]Ke Ye, Lek-Heng Lim:
Cohomology of Cryo-Electron Microscopy. CoRR abs/1604.01319 (2016) - 2012
- [j1]Joseph M. Landsburg, Yang Qi, Ke Ye:
On the geometry of tensor network states. Quantum Inf. Comput. 12(3-4): 346-354 (2012)
Coauthor Index
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last updated on 2025-02-15 01:21 CET by the dblp team
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